Generic
Geekbench AI Score
1751
Single Precision Score
866
Half Precision Score
2071
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | PB7591 |
| Upload Date | March 01 2025 08:12 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-10305 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock H470M-HVS |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i3-10305 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1399
260.1 IPS |
|
|
Image Classification (HP)
|
100% |
381
70.9 IPS |
|
|
Image Classification (Q)
|
96% |
1924
359.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
729
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
515
8.34 IPS |
|
|
Image Segmentation (Q)
|
97% |
1132
18.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2825
3.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
2225
2.60 IPS |
|
|
Pose Estimation (Q)
|
86% |
5013
5.93 IPS |
|
|
Object Detection (SP)
|
100% |
1280
101.6 IPS |
|
|
Object Detection (HP)
|
100% |
449
35.6 IPS |
|
|
Object Detection (Q)
|
58% |
1234
134.8 IPS |
|
|
Face Detection (SP)
|
100% |
2393
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
951
11.3 IPS |
|
|
Face Detection (Q)
|
96% |
3761
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3369
26.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1352
10.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
5047
40.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6030
7.75 IPS |
|
|
Style Transfer (HP)
|
100% |
4525
5.82 IPS |
|
|
Style Transfer (Q)
|
87% |
7770
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1178
43.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
834
30.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1557
57.7 IPS |
|
|
Text Classification (SP)
|
100% |
1026
1.37 KIPS |
|
|
Text Classification (HP)
|
100% |
527
703.2 IPS |
|
|
Text Classification (Q)
|
97% |
371
497.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1252
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
478
8.23 IPS |
|
|
Machine Translation (Q)
|
68% |
1267
24.5 IPS |
